Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
Repowise is a Python package (installed via `pip install repowise`) that builds a local codebase intelligence index across five layers and exposes it to Claude Code and other MCP-compatible agents through nine task-shaped MCP tools. The five layers are: a tree-sitter dependency graph covering 15 languages with PageRank and Leiden community detection; git analytics including hotspots derived from churn-times-complexity, co-change pairs, bus factor, and reviewer suggestions; LLM-generated per-module documentation with hybrid RAG search combining full-text and vector retrieval; architectural decisions mined from eight sources and linked to graph nodes via relationship edges; and a code health score that calculates 1-to-10 file-level ratings from 25 deterministic biomarkers including McCabe complexity, LCOM4 cohesion, Rabin-Karp clone detection, and change entropy. The health scoring requires zero LLM calls and completes in under 30 seconds on a 3,000-file repository, with biomarker weights calibrated against a real defect corpus rather than hand-tuned. Engineering teams using Claude Code benefit most, gaining structured codebase context that reduces tool calls and file reads per query compared to agents working from raw source alone.
- ✓License: NOASSERTION
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !README contains suspicious pattern: eval\s*\(
claude mcp add repowise -- uvx repowise{
"mcpServers": {
"repowise": {
"command": "uvx",
"args": ["repowise"]
}
}
}6 items en este repositorio
Use when a task asks why code is built a certain way, proposes architectural changes, compares implementation approaches, or mentions decision markers such as WHY, DECISION, TRADEOFF, or ADR in a Repowise-indexed repository.
Use when exploring, understanding, or answering questions about a Repowise-indexed codebase, including architecture, where code is implemented, how a module works, or which files are relevant before reading source.
Use when the user asks about unused code, cleanup, deleting files or exports, refactoring old areas, reducing bundle size, code hygiene, technical debt, or maintenance in a Repowise-indexed repository.
Use before modifying, refactoring, moving, or deleting files in a Repowise-indexed repository, especially shared utilities, core modules, public APIs, or files the user did not explicitly identify.
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Lo que la gente pregunta sobre repowise
¿Qué es repowise-dev/repowise?
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repowise-dev/repowise es mcp servers para el ecosistema de Claude AI. Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP. Tiene 2.3k estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala repowise?
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Puedes instalar repowise clonando el repositorio (https://github.com/repowise-dev/repowise) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar repowise-dev/repowise?
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Nuestro agente de seguridad ha analizado repowise-dev/repowise y le ha asignado un Trust Score de 85/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene repowise-dev/repowise?
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repowise-dev/repowise es mantenido por repowise-dev. La última actividad registrada en GitHub es de today, con 29 issues abiertos.
¿Hay alternativas a repowise?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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